Impact of a clinical decision support system on antibiotic prescribing for acute respiratory infections in primary care: quasi-experimental trial.

OBJECTIVE: To assess the effect of a clinical decision support system (CDSS) integrated into an electronic health record (EHR) on antibiotic prescribing for acute respiratory infections (ARIs) in primary care. MATERIALS AND METHODS: Quasi-experimental design with nine intervention practices and 61 control practices in the Practice Partner Research Network, a network of practices which all use the same EHR (Practice Partner). The nine intervention practices were located in nine US states. The design included a 3-month baseline data collection period (October through December 2009) before the introduction of the intervention and 15 months of follow-up (January 2010 through March 2011). The main outcome measures were the prescribing of antibiotics in ARI episodes for which antibiotics are inappropriate and prescribing of broad-spectrum antibiotics in all ARI episodes. RESULTS: In adult patients, prescribing of antibiotics in ARI episodes where antibiotics are inappropriate declined more (-0.6%) among intervention practices than in control practices (+4.2%) (p=0.03). However, among adults, the CDSS intervention improved prescribing of broad-spectrum antibiotics, with a decline of 16.6% among intervention practices versus an increase of 1.1% in control practices (p<0.0001). A similar effect on broad-spectrum antibiotic prescribing was found in pediatric patients with a decline of 19.7% among intervention practices versus an increase of 0.9% in control practices (p<0.0001). CONCLUSIONS: A CDSS embedded in an EHR had a modest effect in changing prescribing for adults where antibiotics were inappropriate but had a substantial impact on changing the overall prescribing of broad-spectrum antibiotics among pediatric and adult patients.

Trends in dietary fiber intake in the United States, 1999-2008.

BACKGROUND: Intake of dietary fiber has been recommended for many years as part of the guidelines from the American Heart Association, the Institute of Medicine, and other groups. The recommended Adequate Intake for dietary fiber for adults is 25 to 38 g/day (14 g/1,000 kcal/day). OBJECTIVE: To determine the average daily intake of dietary fiber among adults during the past decade and, specifically, to document progress toward national goals. DESIGN: Cross-sectional weighted data from the National Health and Nutrition Examination Survey among adults aged 18 years and older. PARTICIPANTS/SETTING: Data were collected from noninstitutionalized adults aged 18 years and older using a nationally representative, complex, multistage, probability-based survey of people living in the United States that was conducted by the National Center for Health Statistics. MAIN OUTCOME MEASURES: Daily dietary fiber intake by members of the US population based on 2-year groupings of the continuous survey from 1999 to 2008. RESULTS: Mean daily dietary fiber intake for 1999-2000 was 15.6 g/day, for 2001-2002 intake was 16.1g/day, for 2003-2004 intake was 15.5 g/day, for 2005-2006 intake was 15.8 g/day, and for 2007-2008 intake was 15.9 g/day. Participants with obesity (body mass index ≥30) consistently reported lower fiber intake than did individuals with normal weight or overweight (14.6 to 15.4 g/day and 15.6 to 16.8 g/day, respectively; P<0.0001). Mexican Americans had significantly higher intake in 1999-2000 than non-Hispanic whites (18.0 vs 16.1g/day; P<0.05), but Mexican Americans' intake did not increase over time (17.7 g/day in 2007-2008). Non-Hispanic blacks had fiber intake of 12.5 g/day at baseline that increased modestly to 13.1 g/day by 2007-2008. CONCLUSIONS: Daily fiber intake generally has not progressed toward national goals during the past decade, but there are some differences according to health and social factors. Additional clinical practice and public health strategies are needed.

The public health implications of maternal care trade-offs.

The socioeconomic and ethnic characteristics of parents are some of the most important correlates of adverse health outcomes in childhood. However, the relationships between ethnic, economic, and behavioral factors and the health outcomes responsible for this pervasive finding have not been specified in child health epidemiology. The general objective of this paper is to propose a theoretical approach to the study of maternal behaviors and child health in diverse ethnic and socioeconomic environments. The specific aims are: (a) to describe a causal pathway between the utility that women obtain through work outside the home and through child care and disease hazard rates in childhood using an optimization model; (b) to specify the influence of ethnic and socioeconomic factors on model constraints; (c) to use the model as a tool to learn about how different combinations of maternal wage labor and child care time might influence child health outcomes in diverse social contexts; (d) to identify parameters that will require measurement in future research; (e) to discuss research strategies that will enable us to obtain these measurements; and (f) to discuss the implications of the model for biostatistical modeling and public health intervention. Optimization models are powerful heuristic tools for understanding how ethnic, environmental, family, and personal characteristics can place important constraints on both the quality and quantity of care that women can provide to their children. They provide a quantitative appreciation for the difficult trade-offs that most women face between working in order to purchase basic goods that children cannot do without (e.g., food, clothing, shelter, health insurance), and increasing offspring well-being through child care (e.g., training in social skills, affection, protection from environmental hazards, help with homework).